TeamTreeHouse – Data Analysis Basics

Learn how to make better decisions with data in this course on data analysis.

Description

Data science unifies statistics, data analysis, machine learning and their related methods in order to understand and analyze actual phenomena with data. It employs techniques and theories drawn from many fields within the context of mathematics, statistics, information science, and computer science.

In this track, we’ll be exploring the tools and techniques to get you started on your journey.

You’ll pick up the basic building blocks of how to analyze and communicate data findings.

The first course you’ll take is Data Analysis Basics, where you’ll establish some language and definitions as well as how to think about data. Next, we’ll cover some Python topics, as it’s the language data scientists use the most. You’ll establish a firm foundation in Python lists, dictionaries, sequences, tuples, and more.

We’ll then cover some best practices for cleaning and preparing data, data visualization, and an introduction to scraping data from the Web. To wrap up this Track, you’ll take our Introduction to Big Data course and then our Machine Learning Basics course.

About this Course

Learn how to make better decisions with data in this course on data analysis.

What you’ll learn

• Cleaning and preparing data in spreadsheets
• Summarizing data with formulae
• Normal distributions and standard deviations
• Simple visualizations in spreadsheets
• Presenting findings

TeamTreeHouse – Data Analysis Basics Course Download Link